Senior Specialist - AI Engineer

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Technology Services enables the future of how clients manage their money by delivering innovative, secure, and scalable technology solutions that support investing and financial planning at scale. Within this environment, the BPMT Departmental Pega One (DPO) platform plays a critical role in modernizing and streamlining key business workflows across functions such as account maintenance, retirement services, fund maintenance, custody, and operations.

As a Senior Specialist, Software Development Engineer, you will contribute to building and evolving full-stack applications that drive operational efficiency and improve business outcomes. This role focuses on developing high-quality, high-performance solutions using modern technologies while enabling seamless integrations and reusable components across the enterprise. You will partner closely with architects, product owners, and cross-functional stakeholders to design, build, and deliver solutions that meet business needs while maintaining strong standards for security, scalability, and reliability.

You will operate in a fast-paced, Agile environment, leveraging AI-powered engineering practices—including tools such as GitHub Copilot and custom AI agents—to accelerate development, enhance productivity, and improve code quality. Your impact will be measured by your ability to deliver end-to-end features, proactively identify and mitigate risks, and ensure solutions are production-ready through robust testing, CI/CD automation, and release management practices. In addition, you will help elevate team performance by mentoring others, contributing to engineering standards, and continuously improving development and delivery processes.

• →Design, build, test, and maintain software applications across the full stack under the guidance of senior engineers.
• →Use GenAI tools (for example, GitHub Copilot, Cursor, Claude Code) to accelerate coding, debugging, and documentation.
• →Take full ownership of all code changes, including those generated with AI tools.
• →Review, test, and thoroughly understand every change before it is merged and released to production.
• →Write clean, maintainable, and well-structured code with or without AI assistance.AI-Assisted Workflows
• →Create clear prompts, task definitions, and acceptance criteria to effectively direct AI agents on your own work.
• →Apply spec-driven development practices to translate requirements into structured, AI-ready specifications.
• →Contribute to AI agent development by helping define agent goals, tool use, and simple task flows under the guidance of senior engineers.
• →Review and validate AI-generated code for correctness, quality, security, and maintainability.
• →Apply judgment to accept, modify, or reject AI suggestions based on context and team standards.Testing and Quality
• →Generate and improve unit, integration, and regression tests using AI-assisted tools.
• →Ensure test coverage meets team standards before code is merged.
• →Identify and address security, performance, and reliability concern early in the development cycle.

• Assist in refactoring and modernizing existing codebases using AI-assisted workflows to improve readability, maintainability, and performance.
• Help identify technical debt and contribute to AI-accelerated remediation efforts under senior guidance.

• Participate in architecture discussions, design reviews, and code reviews to learn and contribute to technical direction and quality standards.
• Help maintain custom instructions and prompt engineering guidelines that support consistent, effective AI-assisted development across the team.
• Continuously improve your AI-enabled engineering practices and share learnings, patterns, and tooling insights with peers.

• Bachelor’s degree in computer science, Information Technology, or a related field
• 5+ years of experience in full-stack software development within enterprise environments
• Strong proficiency in object-oriented programming languages such as Java
• Hands-on experience building modern web applications using React and Node.js
• Experience designing and developing multi-tier or n-tier enterprise applications
• Demonstrated experience with AI-assisted development tools (e.g., GitHub Copilot), including the use of custom agents or AI-enabled development practices
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions
• Proven ability to develop and execute automated testing strategies, including unit, integration, and regression testing
• Solid foundation in computer science fundamentals, including:o          Algorithms and data structureso          Object-oriented programming and common design patternso          Basic system designo          Databases and networkingo          Concurrency fundamentalso          Testing and CI/CDo          Secure coding principles
• Hands-on experience using GenAI coding tools (GitHub Copilot, Cursor, or similar) in day-to-day development.
• Proficiency in Java or .NET.
• Ability to critically review AI-generated code for bugs, security issues, and code quality.
• Exposure to agentic workflows and spec-driven development concepts, with the ability to translate basic design artifacts into AI-ready task specifications.
• Practical experience with prompt engineering and authoring custom instructions to improve AI-assisted development outcomes.
• Independently applies application maintenance practices and collaborates to ensure continuous support
• Tracks data pipelines and stores to support analytics and machine learning
• Experience supporting and participating in production release activities
• Working knowledge of SQL and/or NoSQL databases, including query optimization
• Strong understanding of Agile development methodologies and practices
• Demonstrated problem-solving, debugging, and decision-making skills in complex technical environments
• Strong collaboration, communication, and stakeholder engagement skills
• Knowledge of Retirement Business Services (RBS) workflows and business processes

• Experience developing applications on the Pega platform
• Exposure to building or extending AI agents using frameworks such as LangChain, Copilot Workspace, AutoGen, CrewAI, or similar.
• Experience with at least one cloud platform (GCP, AWS, or Azure).
• Familiarity with secure coding practices.
• Experience contributing to modernization of legacy applications.
• Familiarity with distributed systems and large-scale enterprise architecture
• Experience with federated identity and SSO standards such as SAML or OAuth
• Exposure to cloud platforms and cloud-native development practices
• Experience designing and implementing REST or SOAP-based APIs
• Knowledge of test-driven development approaches such as ATDD or BDD
• Experience contributing to software design standards, architecture documentation, and solution governance
• Ability to evaluate and recommend technology solutions and platform improvements
• Strong ability to solve complex, time-sensitive problems with innovative and scalable solutions